code: def forward(
      self,
      x_dict: Dict[NodeType, Tensor],
      edge_index_dict: Dict[EdgeType, Tensor],
  ) -> Dict[NodeType, Tensor]:
      return self.model(x_dict, edge_index_dict)
  
imports: import os.path
  from typing import Dict, List, Tuple
  import pytorch_lightning
  import torch
  import torch.nn.functional
  from pytorch_lightning import LightningModule, Trainer
  from pytorch_lightning.callbacks import ModelCheckpoint
  from torch import Tensor
  from torchmetrics import Accuracy
  import torch_geometric.transforms
  from torch_geometric.data import Batch
  from torch_geometric.data.lightning import LightningNodeData
  from torch_geometric.datasets import OGB_MAG
  from torch_geometric.nn import Linear, SAGEConv, to_hetero
  from torch_geometric.typing import EdgeType, NodeType
label_desc: Use image node_id 2 for calling the RelationalGNN obj's underlying member method code with example usage: obj.forward(x_dict, edge_index_dict) and returns: self